Data classification based on the hybrid intellectual technology
In this paper the data classification technique, implying the consistent application of the SVM and Parzen classifiers, has been suggested. The Parser classifier applies to data which can be both correctly and erroneously classified using the SVM classifier, and are located in the experimentally def...
Main Authors: | Demidova Liliya, Egin Maksim |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://doi.org/10.1051/itmconf/20181804001 |
Similar Items
-
SVM prediction of the attestation success on the base of the poll results
by: Demidova Liliya, et al.
Published: (2018-01-01) -
Two-Stage Hybrid Data Classifiers Based on SVM and kNN Algorithms
by: Liliya A. Demidova
Published: (2021-04-01) -
Improving the Classification Quality of the SVM Classifier for the Imbalanced Datasets on the Base of Ideas the SMOTE Algorithm
by: Demidova Liliya, et al.
Published: (2017-01-01) -
Development of the SVM classifier ensemble for the classification accuracy increase
by: Demidova Liliya, et al.
Published: (2016-01-01) -
Research and Study of the Hybrid Algorithms Based on the Collective Behavior of Fish Schools and Classical Optimization Methods
by: Liliya A. Demidova, et al.
Published: (2020-04-01)